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Viewing 6 papers from 2018 in Semantic Scholar
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    • ArXiv 2018
      Sergey Feldman, Kyle Lo, Waleed Ammar
      We explore the degree to which papers prepublished on arXiv garner more citations, in an attempt to paint a sharper picture of fairness issues related to prepublishing. A paper’s citation count is estimated using a negative-binomial generalized linear model (GLM) while observing a binary variable…  (More)
    • NAACL-HLT 2018
      Waleed Ammar, Dirk Groeneveld, Chandra Bhagavatula, Iz Beltagy, Miles Crawford, Doug Downey, Jason Dunkelberger, Ahmed Elgohary, Sergey Feldman, Vu Ha, Rodney Kinney, Sebastian Kohlmeier, Kyle Lo, Tyler Murray, Hsu-Han Ooi, Matthew E. Peters, et al.
      We describe a deployed scalable system for organizing published scientific literature into a heterogeneous graph to facilitate algorithmic manipulation and discovery. The resulting literature graph consists of more than 280M nodes, representing papers, authors, entities and various interactions…  (More)
    • NAACL-HLT 2018
      Chandra Bhagavatula, Sergey Feldman, Russell Power, Waleed Ammar
      We present a content-based method for recommending citations in an academic paper draft. We embed a given query document into a vector space, then use its nearest neighbors as candidates, and rerank the candidates using a discriminative model trained to distinguish between observed and unobserved…  (More)
    • NAACL-HLT 2018 Dataset
      Dongyeop Kang, Waleed Ammar, Bhavana Dalvi Mishra, Madeleine van Zuylen, Sebastian Kohlmeier, Eduard Hovy, Roy Schwartz
      Peer reviewing is a central component in the scientific publishing process. We present the first public dataset of scientific peer reviews available for research pur- poses (PeerRead v1), providing an opportunity to study this important artifact. The dataset consists of 14.7K paper drafts and the…  (More)
    • JCDL 2018
      Noah Siegel, Nicholas Lourie, Russell Power and Waleed Ammar
      Non-textual components such as charts, diagrams and tables provide key information in many scientific documents, but the lack of large labeled datasets has impeded the development of data-driven methods for scientific figure extraction. In this paper, we induce high-quality training labels for the…  (More)
    • ACL • Proceedings of the BioNLP 2018 Workshop 2018
      Lucy L. Wang, Chandra Bhagavatula, M. Neumann, Kyle Lo, Chris Wilhelm, Waleed Ammar
      Ontology alignment is the task of identifying semantically equivalent entities from two given ontologies. Different ontologies have different representations of the same entity, resulting in a need to de-duplicate entities when merging ontologies. We propose a method for enriching entities in an…  (More)